Xoriant Interview Questions and Answers

Key topics in Generative AI include Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).

• RAG combines generative models with retrieval mechanisms to improve text generation.

• LLMs like GPT-3 and BERT are pre-trained on large text corpora to generate human-like text.

• Ethical considerations in using LLMs for text generation, such as bias and misinformation.

• Applications of RAG and LLMs in natural language pro...read more

I have a strong understanding of the existing project and the technology stacks used.

• The existing project is a data analytics platform used for analyzing customer behavior and making data-driven decisions.

• The technology stacks used include Python for data processing, SQL for database management, and Tableau for data visualization.

• I have experience working with machine learning algorithms such as regression, classificat...read more

I have contributed to improving data processing efficiency by implementing advanced machine learning algorithms and optimizing existing models.

• Implemented advanced machine learning algorithms to improve predictive accuracy

• Optimized existing models to increase efficiency and reduce processing time

• Developed automated data processing pipelines to streamline workflow

• Collaborated with cross-functional teams to integrate new...read more

Work challenges and solutions in data science role

• One challenge is handling large volumes of data efficiently, solution is implementing parallel processing techniques like MapReduce

• Another challenge is ensuring data quality, solution is developing data validation processes and implementing data cleaning algorithms

• Dealing with complex algorithms is a challenge, solution is continuous learning and staying updated with la...read more

Generative AI and NLP are advanced technologies used to create content and understand human language.

• Generative AI involves creating new content, such as images, music, or text, using algorithms like GANs.

• NLP focuses on understanding and generating human language, used in chatbots, sentiment analysis, and language translation.

• Use cases of Generative AI include deepfake videos, art generation, and text generation.

• NLP is...read more

Migration of projects from server to cloud involves planning, testing, and executing the transfer of data and applications.

• Assess the current server setup and identify all projects and data to be migrated

• Choose a suitable cloud provider and plan the migration process

• Test the migration process with a small project before moving larger ones

• Ensure data security and compliance during the migration

• Update any necessary confi...read more

Jira project configuration involves setting up workflows, issue types, fields, permissions, and notifications.

• Define issue types (e.g. bug, task, story)

• Create custom fields to capture specific information

• Set up workflows to define the lifecycle of an issue

• Configure permissions to control who can view and edit issues

• Manage notifications to keep stakeholders informed

Scheduled script runs on a predefined schedule, while Map reduce script processes large datasets in parallel.

• Scheduled script is used for automating tasks at specific times, like sending reports daily at 8am.

• Map reduce script is used for processing large datasets by splitting them into smaller chunks and processing them in parallel.

• Scheduled script is typically used for routine tasks, while Map reduce script is used fo...read more

Types of scripts in NetSuite include SuiteScript, SuiteTalk, SuiteFlow, and SuiteBuilder.

• SuiteScript: JavaScript-based scripts for customizing NetSuite functionality.

• SuiteTalk: Web services integration for connecting NetSuite with external systems.

• SuiteFlow: Visual workflow tool for automating business processes.

• SuiteBuilder: Customization tool for modifying NetSuite forms, fields, and records.